All in One: Encoding spatio-temporal big data in XML, JSON, and RDF without information loss.
Peter BaumannEric HirschornJoan Masó-PauVlad MerticariuDimitar MisevPublished in: IEEE BigData (2017)
Keyphrases
- big data
- information loss
- spatio temporal
- xml format
- markup language
- metadata
- data model
- unstructured data
- xml documents
- xml schema
- cloud computing
- linked open data
- data management
- rdf data
- semantic web
- data analysis
- xml data
- privacy protection
- social media
- extra information
- data quality
- vast amounts of data
- big data analytics
- databases
- data integration
- data processing
- rdf graphs
- business intelligence
- linked data
- knowledge discovery
- relational databases
- data science
- xml databases
- disclosure risk
- query language
- database
- data publishing
- anonymized data
- data stores
- data access
- business analytics
- massive datasets
- data warehousing
- object oriented
- management system
- data sources
- machine learning
- data sets